Assignment 9

I had never worked with R before this assignment (though obviously I remembered hearing about it in previous lectures), so it was an interesting experience. I don't personally have much experience with coding so at first imputing what I wanted was challenging, but eventually I got used to it. It ended up fascinating to see the graph build itself before my eyes however, rather than just seeing the final product. I'm interested in learning more about R and bettering my understanding of it (including having a better understanding of how to insert colors-I tried to get each bar to correspond to each color but could not get it to work).

Assignment 8

After generating the Chi-square results, here is what I have found:

-Goals: chi-squared equals 0.000 with a P value of 1.
-Grades: chi-squared equals 0.533 with a P value of 0.7661.
-Popular:chi-squared equals 0.982 with a P value of 0.6119.
-Sports: chi-squared equals  0.003 with a P value of  0.9987.

From the results, I gather that the biggest difference between the actual and expected results was how many students valued popularity the most in each group, and the least (actually no difference) was how many students valued goals.

Assignment 7

Mean: 55,303,632.375 (FB), 36,042,208.5 (T)

Median: 57,963,191 (FB), 37,133,201 (T)

Standard Deviation: 15,979,901.476981508 (FB), 7,783,594.278588524 (T)

Displaying the data in a bar graph really conveys how more users overall are following celebrities social media through Facebook rather than Twitter. It's easy to look at and gain general knowledge about the data overall (Rhianna has the most Facebook likes, Shakira has the least amount of followers on Twitter, etc). However, there are downsides to this model as well. If the data is very close to one another, like Justin Bieber and Katy Perry's Twitter followers, then it's hard to tell which is greater.

Assignment 6

For this assignment I chose to use the Wolfram Alpha program on my Facebook profile to see what kind of data it could produce from it.

Some of the information it gathered was more obvious, for instance that I currently live in Tampa and that I'm 21 years old. However the data that it gathered from my friends list was very interesting. It revealed the average age of my friends list (26), that most of my friends are women, that most of them are in relationships, and that with the exception of four people, most of my friends are mutual friends. If a company were to use my Facebook page to try and market to me, they would likely be able to appeal to most of my friends list as well.

Another insight the program gave me was that it noticed I rarely tag anyone in any of the photos I upload. This can occasionally cause problems since I won't remember who was in the photos later on, or where I was when it was taken. It also noted that most of my posts had been made within the past few years-I hadn't really used Facebook until I started college.